Energy-efficient artificial intelligence for wearable devices in eHealth
M Kheffache - 2019 - lutpub.lut.fi
eHealth is a recently emerging practice at the intersection between the ICT and healthcare
fields where computing and communication technology is used to improve the traditional …
fields where computing and communication technology is used to improve the traditional …
[图书][B] Adaptive energy-aware real-time detection models for cardiac atrial fibrillation
R Bouhenguel - 2012 - search.proquest.com
Though several clinical monitoring ways exist and have been applied to detect cardiac atrial
fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical …
fibrillation (A-Fib) and other arrhythmia, these medical interventions and the ensuing clinical …
Atrial fibrillation detection by multi-lead ECG processing at the edge
Atrial fibrillation is one of the most common arrhythmia events potentially causing heart
failures and thrombosis. Recently, many healthcare applications have been developed with …
failures and thrombosis. Recently, many healthcare applications have been developed with …
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
S Krishan T, V Nagarajan, V Vijayaraghavan - arXiv e-prints, 2021 - ui.adsabs.harvard.edu
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with 2% of the
population affected. It is associated with an increased risk of strokes, heart failure and other …
population affected. It is associated with an increased risk of strokes, heart failure and other …
Atrial fibrillation detection and atrial fibrillation burden estimation via wearables
Atrial Fibrillation (AF) is an important cardiac rhythm disorder, which if left untreated can lead
to serious complications such as a stroke. AF can remain asymptomatic, and it can …
to serious complications such as a stroke. AF can remain asymptomatic, and it can …
End-to-End Optimized Arrhythmia Detection Pipeline using Machine Learning for Ultra-Edge Devices
JB Sideshwar, TS Krishan, V Nagarajan… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with 2% of the
population affected. It is associated with an increased risk of strokes, heart failure and other …
population affected. It is associated with an increased risk of strokes, heart failure and other …
End-to-end optimized arrhythmia detection pipeline using machine learning for ultra-edge devices
V Nagarajan, V Vijayaraghavan - arXiv preprint arXiv:2111.11789, 2021 - arxiv.org
Atrial fibrillation (AF) is the most prevalent cardiac arrhythmia worldwide, with 2% of the
population affected. It is associated with an increased risk of strokes, heart failure and other …
population affected. It is associated with an increased risk of strokes, heart failure and other …
[图书][B] Energy and Bandwidth Efficient Edge Computing for the Internet of Healthcare Things
D Amiri - 2020 - search.proquest.com
Recent advances in the Internet of Things (IoT) technologies have enabled the use of
wearables for remote patient monitoring. Wearable sensors capture the patient's vital signs …
wearables for remote patient monitoring. Wearable sensors capture the patient's vital signs …
Towards collaborative intelligent IoT eHealth: From device to fog, and cloud
The relationship between technology and healthcare due to the rise of intelligent Internet of
Things (IoT), Artificial Intelligence (AI), and the rapid public embracement of medical-grade …
Things (IoT), Artificial Intelligence (AI), and the rapid public embracement of medical-grade …
Implementation and validation of real-time algorithms for atrial fibrillation detection on a wearable ECG device
IA Marsili, L Biasiolli, M Masè, A Adami… - Computers in biology …, 2020 - Elsevier
Background Due to the growing epidemic of atrial fibrillation (AF), new strategies for AF
screening, diagnosis, and monitoring are required. Wearable devices with on-board AF …
screening, diagnosis, and monitoring are required. Wearable devices with on-board AF …